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Prognostic significance of peritoneal metastasis from colorectal cancer treated with first-line triplet chemotherapy

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World Journal of Clinical Cases 2022年第8期10卷 2429-2438页

作者： Shouki Bazarbashi Abdulrahman Alghabban Mohamed Aseafan Ali H Aljubran Ahmed Alzahrani tusneem am elhassan Oncology Center King Faisal Specialist Hospital&Research CenterRiyadh 11211RiyadhSaudi Arabia

BACKGROUND Peritoneal metastasis from colorectal cancer(CRC)carries a poor prognosis in most *** majority of those studies used either a single-agent or doublet chemotherapy regimen in the first-line *** To investigate the prognostic significance of peritoneal metastasis in a cohort of patients treated with triplet chemotherapy in the first-line *** We retrospectively evaluated progression-free survival(PFS)and overall survival(OS)in 51 patients with metastatic CRC treated in a prospective clinical trial with capecitabine,oxaliplatin,irinotecan,and bevacizumab in the first-line setting according to the presence and absence of peritoneal ***,univariate and multivariate analyses for PFS and OS were performed to assess the prognostic significance of peritoneal metastasis at the multivariate *** Fifty-one patients were treated with the above triplet *** had peritoneal *** patient characteristics of both groups showed a significant difference in the sidedness of the primary tumor(left-sided primary tumor in 60%of the peritoneal group vs 86%in the nonperitoneal group,P=0.03)and the presence of liver metastasis(40%for the peritoneal group vs 75%for the nonperitoneal group,P=0.01).Univariate analysis for PFS showed a statistically significant difference for age less than 65 years(P=0.034),presence of liver metastasis(P=0.046),lung metastasis(P=0.011),and those who underwent metastasectomy(P=0.001).Only liver metastasis and metastasectomy were statistically significant for OS,with P values of 0.001 and 0.002,*** analysis showed that age(less than 65 years)and metastasectomy were statistically significant for PFS,with P values of 0.002 and 0.001,*** the other hand,the absence of liver metastasis and metastasectomy were statistically significant for OS,with P values of 0.003 and 0.005,*** Peritoneal metastasis in patients with metastatic CRC tre

关键词： Colorectal cancer Peritoneal carcinomatosis Triplet chemotherapy Survival Prognostic factors Metastasectomy

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Bias and Mean Square Error of Reliability Estimators under the One and Two Random Effects Models: The Effect of Non-Normality

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Open Journal of Statistics 2016年第2期6卷 254-273页

作者： Mohamed M. Shoukri tusneem Al-Hassan Michael DeNiro Abdelmoneim El Dali Futwan Al-Mohanna Department of Cell Biology King Faisal Specialist Hospital and Research Center Riyadh Saudi Arabia Al-Faisal University College of Medicine Riyadh Saudi Arabia The Oncology Center King Faisal Specialist Hospital and Research Center Riyadh Saudi Arabia Department of Biostatistics Epidemiology and Scientific Computing King Faisal Specialist Hospital and Research Center Riyadh Saudi Arabia

The coefficient of reliability is often estimated from a sample that includes few subjects. It is therefore expected that the precision of this estimate would be low. Measures of precision such as bias and variance depend heavily on the assumption of normality, which may not be tenable in practice. Expressions for the bias and variance of the reliability coefficient in the one and two way random effects models using the multivariate Taylor’s expansion have been obtained under the assumption of normality of the score (Atenafu et al. [1]). In the present paper we derive analytic expressions for the bias and variance, hence the mean square error when the measured responses are not normal under the one-way data layout. Similar expressions are derived in the case of the two-way data layout. We assess the effect of departure from normality on the sample size requirements and on the power of Wald’s test on specified hypotheses. We analyze two data sets, and draw comparisons with results obtained via the Bootstrap methods. It was found that the estimated bias and variance based on the bootstrap method are quite close to those obtained by the first order approximation using the Taylor’s expansion. This is an indication that for the given data sets the approximations are quite adequate.

关键词： Rater’s Reliability Random Effects Models Multivariate Taylor’s Expansion Wald’s Confidence Interval Bootstrap Methods

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